DOB-Based Neural Control of Flexible Hypersonic Flight Vehicle Considering Wind Effects
DOB-Based Neural Control of Flexible Hypersonic Flight Vehicle Considering Wind Effects
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DOI：
10.1109/tie.2017.2703678
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发表时间：
2017-11-01
影响因子：
7.7
通讯作者：
Shi, Zhongke
中科院分区：
文献类型：
--
作者：
Xu, Bin;Wang, Danwei;Shi, Zhongke
研究了基于干扰观测器（DOB）的高超声速柔性飞行器（HFV）纵向动力学的神经网络自适应控制问题。柔性状态与刚体之间的耦合效应以及风引起的附加攻角（AOA）被建模为未知扰动，其中非线性DOB采用神经近似构造。针对神经网络中的权值更新问题，提出了一种新的算法，该算法利用串-并行估计模型（SPEM）中神经逼近和扰动估计的附加预测误差进行权值更新。与以往研究不同的是，将风的影响引入高超声速飞行动力学中进行实际分析，并采用复合估计方法设计控制器，其中神经网络和DOB被构造用于处理气动不确定性和未知干扰。仿真结果表明，所设计的控制器具有较高的跟踪精度，而复合估计器能很好地跟踪系统的不确定性，且收敛速度快。
This paper investigates the disturbance observer (DOB)-based neural adaptive control on the longitudinal dynamics of a flexible hypersonic flight vehicle (HFV) in the presence of wind effects. The coupling effect between flexible states and rigid body, and the accessional angle of attack (AOA) due to wind, is modeled as unknown disturbance, where the nonlinear DOB is constructed using the neural approximation. For the weight update in neural networks (NNs), a novel algorithm is proposed with the additional prediction error derived from the serial-parallel estimation model (SPEM) using both neural approximation and disturbance estimation. Different from previous work, the wind effect is taken into the hypersonic flight dynamics for realistic analysis, and the novel controller is designed using compound estimation, where the NN and the DOB are constructed to deal with aerodynamic uncertainty and unknown disturbance. Simulation studies of a flexible HFV with wind effects show that the proposed controller can achieve high tracking accuracy, while the compound estimation can closely follow the system uncertainty with fast convergence.